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Jingxuan Fan

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#artificial intelligence Preprint Sep 2026

Continuous Context Management

Long-horizon large language model (LLM) agents commonly retain their complete interaction history until compaction is triggered at a predefined threshold. We study Continuous Context Management (CCM), which performs compaction at every turn to prevent interaction history from accumulating in the active prompt. At each...

William Hoy, Jing-Xuan Fan, Nurcin Celik et al. · 0 citations
#artificial intelligence Review Sep 2026

READY or Not: Reliable Enterprise Agent Deployment

Reliable Enterprise Agent Deployment (READY), a framework for qualifying AI agents for deployment on enterprise workflows, and provides a basis for comparing agent systems, setting oversight requirements, and making evidence-based deployment decisions.

Veronica Chatrath, Bryan Zhu, Jingxuan Fan et al. · 0 citations
Review Aug 2026

CliniCARE-Bench: Clinical Calibrated Audit of Medical Reasoning in EHR

CliniCARE-Bench is the first deployment-oriented clinical-agent benchmark to jointly evaluate real longitudinal EHR investigation, claim-level evidence grounding, governing-policy use, process adherence, and calibrated abstention within a common patient-level adjudication framework.

Veronica Chatrath, Bryan Zhu, George Pu et al. · 1 citation

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